• DocumentCode
    2392969
  • Title

    Electrocardiographic inverse problem: Spatial characterization of the left ventricle potential

  • Author

    Stenroos, Matti ; Toivonen, Lauri

  • Author_Institution
    Dept. of Biomed. Eng. & Comput. Sci., Helsinki Univ. of Technol., Helsinki, Finland
  • fYear
    2009
  • fDate
    3-6 Sept. 2009
  • Firstpage
    3274
  • Lastpage
    3277
  • Abstract
    In this work, we present a method for spatial characterization of the electrical activity of the left ventricle (LV). The presented method, electrocardiographic LV imaging, aims at characterization of main morphological features of the LV electrical activity via simple inverse reconstruction of the electrocardiogram on a standard LV segment model. The method is demonstrated with a case study dealing with the spatial characterization of an old myocardial infarction (MI). The results are encouraging: the centroid of the MI region is localized correctly, and the shape of the reconstructed infarcted region is similar to that in the golden standard solution, even though a patient-specific thorax model was not used.
  • Keywords
    bioelectric potentials; cardiovascular system; diseases; electrocardiography; inverse problems; medical signal processing; signal reconstruction; electrocardiographic inverse problem; inverse reconstruction; left ventricle electrical activity; left ventricle potential; morphological feature; myocardial infarction; patient-specific thorax model; spatial characterization; Body Surface Potential Mapping; Cardiology; Electrocardiography; Electrophysiology; Heart; Heart Conduction System; Heart Ventricles; Humans; Image Processing, Computer-Assisted; Inferior Wall Myocardial Infarction; Magnetic Resonance Imaging; Models, Anatomic; Models, Cardiovascular; Software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-3296-7
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2009.5333513
  • Filename
    5333513